abinashpanda

#!/usr/bin/env python

import scipy.fftpack as fftpack
import scipy.io.wavfile as wav
import numpy as np
import matplotlib.pylab as plt

# Reading wav file
AUDIO_FILE = '/home/abinash/hin_0044.wav'
input_file = open(AUDIO_FILE)

abinashpanda

#!/usr/bin/env python

from __future__ import division

"""
Independent component analysis (ICA) is used to estimate 
sources given noisy measurements. Imagine 2 persons speaking 
simultaneously and 2 microphones recording the mixed signals. 
ICA is used to recover the sources ie. what is said by each person.
"""

abinashpanda

#include <shogun/base/init.h>
#include <shogun/features/SparseFeatures.h>
#include <shogun/io/SGIO.h>
#include <shogun/mathematics/Math.h>
#include <shogun/structure/MulticlassSOLabels.h>
#include <shogun/structure/MulticlassModel.h>
#include <shogun/structure/DualLibQPBMSOSVM.h>
#include <shogun/structure/StochasticSOSVM.h>
#include <shogun/labels/BinaryLabels.h>
#include <shogun/labels/MulticlassLabels.h>

abinashpanda

/*
 * This software is distributed under BSD 3-clause license (see LICENSE file).
 *
 * Copyright(C) 2014 Abinash Panda
 * Written(W) 2014 Abinash Panda
 */

#include <shogun/base/init.h>
#include <shogun/evaluation/StructuredAccuracy.h>
#include <shogun/features/SparseFeatures.h>

abinashpanda

#include <shogun/io/LineReader.h>
#include <shogun/io/Parser.h>
#include <shogun/lib/DelimiterTokenizer.h>
#include <shogun/lib/SGVector.h>
#include <shogun/lib/SGSparseVector.h>
#include <shogun/io/SGIO.h>

#include <shogun/base/init.h>

using namespace shogun;

abinashpanda

#!/usr/bin/env python

"""
Benchmarking test with time taken for multilabel learning using Shogun's 
Structured Output (SO) learning framework.
"""

from __future__ import print_function
from __future__ import division

abinashpanda

SGSparseVector<float64_t> hash_vector(SGSparseVector<float64_t> vec, int32_t dim,
	uint32_t seed)
{
	SGVector<float64_t> h_vec(dim);
	h_vec.zero();

	for (index_t i=0; i<vec.num_feat_entries; i++)
	{
		uint32_t hash = CHash::MurmurHash3((uint8_t* ) &vec.features[i].feat_index, sizeof (index_t),
						seed);

abinashpanda

/*
 * Copyright(C) 2014 Abinash Panda
 * Written(W) 2014 Abinash Panda
 */

#include <shogun/base/init.h>
#include <shogun/lib/Hash.h>
#include <shogun/lib/SGSparseVector.h>
#include <shogun/features/SparseFeatures.h>
#include <shogun/mathematics/Random.h>

abinashpanda

abinashpanda